AR Control Panel Configuration via Image Recognition
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Solution Overview
Problem
Configuring control panels, such as those in aircraft cockpits, can be time-consuming and error-prone due to the need for manual location and configuration of controls based on checklists, especially in high-pressure situations where quick and accurate setup is critical.
Innovation Solution
A device that uses image data from a camera to guide users through the configuration process by overlaying graphical instructions on a display, verifying control configurations, and guiding users to properly set up control panels using augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checklist-based configuration is used, then configuration accuracy can be maintained, but configuration time increases significantly
Solution Approach 1:
The patent replaces the manual mechanical process of checklist-based control configuration with an automated image recognition system. The system captures images of the control panel, automatically identifies control elements and their states, and compares them against required configurations, eliminating manual visual inspection and physical adjustment while maintaining accuracy through automated verification.
Solution Approach 2:
The system enables self-service configuration by automatically detecting control panel states and guiding users through configuration tasks without requiring manual checklist review. The image recognition system autonomously identifies which controls need adjustment and verifies their states, allowing the system to serve itself in monitoring and guiding the configuration process.
2Productivity
If automated image recognition is implemented, then configuration time is reduced, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by combining image capture, image processing, control element identification, state detection, and configuration verification within a single integrated platform. This universal system handles multiple tasks that would otherwise require separate tools, reducing overall system complexity despite the advanced capabilities employed.
Solution Approach 2:
The patent introduces an intermediary layer between the control panel and the user: an image recognition system that acts as a mediator. This intermediary automatically interprets the visual state of controls and translates it into actionable configuration guidance, simplifying the user's task while managing the complexity of image processing in the background.
3Ease of operation
If graphical overlays are used to guide users, then ease of operation improves, but information processing requirements increase
Solution Approach 1:
The system applies partial action by processing and displaying only the specific graphical overlays and guidance information relevant to the current configuration task rather than processing the entire control panel state simultaneously. This selective processing reduces energy consumption while maintaining ease of operation by presenting only necessary guidance at each step.
Data Source
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AI summary
A method includes receiving, at a processor from a camera, image data associated with a control panel. The method also includes presenting one or more images at a display. The one or more images are generated based on the image data. The method includes determining a location of a first control of the control panel based on the image data and based on control settings data. The method includes providing an indication of the location of the first control at the display, and providing an indication of a desired configuration of the first control at the display.